Table A2.
Characteristic | Female (n = 74) | Male (n = 40) | Total (n = 114) | |
---|---|---|---|---|
Age group (years) | 20–30 | 5 (6.76%) | 2 (5%) | 7 (6.14%) |
30–40 | 19 (25.68%) | 16 (40%) | 35 (30.7%) | |
40–50 | 29 (39.19%) | 9 (22.5%) | 38 (33.33%) | |
50–60 | 13 (17.57%) | 11 (27.5%) | 24 (21.05%) | |
60+ | 7 (9.46%) | 0 (0%) | 7 (6.14%) | |
Unknown | 1 (1.35%) | 2 (5%) | 3 (2.63%) | |
Race | Black | 28 (37.84%) | 21 (52.5%) | 49 (42.98%) |
White | 33 (44.59%) | 6 (15%) | 39 (34.21%) | |
Indian | 8 (10.81%) | 7 (17.5%) | 15 (13.16%) | |
Coloured | 4 (5.41%) | 4 (10%) | 8 (7.02%) | |
Asian | 1 (1.35%) | 1 (2.5%) | 2 (1.75%) | |
Prefer not to say | 0 (0%) | 1 (2.5%) | 1 (0.88%) | |
Years in position | <3 | 12 (16.22%) | 5 (12.5%) | 17 (14.91%) |
3–5 | 19 (25.68%) | 20 (50%) | 39 (34.21%) | |
6–9 | 16 (21.62%) | 6 (15%) | 22 (19.3%) | |
≥10 | 27 (36.49%) | 9 (22.5%) | 36 (31.58%) | |
Qualification | Degree | 50 (67.57%) | 24 (60%) | 74 (64.91%) |
Masters | 20 (27.03%) | 10 (25%) | 30 (26.32%) | |
Diploma | 3 (4.05%) | 2 (5%) | 5 (4.39%) | |
Matric | 1 (1.35%) | 3 (7.5%) | 4 (3.51%) | |
Doctoral | 0 (0%) | 1 (2.5%) | 1 (0.88%) | |
Position | District/sub-district pharmacist | 26 (35.14%) | 12 (30%) | 38 (33.33%) |
Support partner | 18 (24.32%) | 10 (25%) | 28 (24.56%) | |
Provincial pharmacist | 14 (18.92%) | 1 (2.5%) | 15 (13.16%) | |
Hospital pharmacist | 4 (5.41%) | 8 (20%) | 12 (10.53%) | |
Depot pharmacist | 6 (8.11%) | 2 (5%) | 8 (7.02%) | |
Information technology support | 1 (1.35%) | 3 (7.5%) | 4 (3.51%) | |
Head of pharmaceutical services | 1 (1.35%) | 2 (5%) | 3 (2.63%) | |
Programme manager | 1 (1.35%) | 0 (0%) | 1 (0.88%) | |
Pharmaceutical policy specialist | 1 (1.35%) | 0 (0%) | 1 (0.88%) | |
Director: Affordable Medicines | 1 (1.35%) | 0 (0%) | 1 (0.88%) | |
Chief director | 0 (0%) | 1 (2.5%) | 1 (0.88%) | |
Contract manager | 1 (1.35%) | 0 (0%) | 1 (0.88%) | |
Administrator | 0 (0%) | 1 (2.5%) | 1 (0.88%) |